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Zheng, Q., Weng, Q*. and K. Wang*. 2021. Characterizing urban land changes of 30 global megacities using nighttime light time series stacks, ISPRS Journal of Photogrammetry and Remote Sensing, 173(3), 10-23.
Chen, Y., Weng, Q.*, Tang, L.*, Zhang, X., Bilal, M. and Q. Li. 2021. Thick clouds removal from multitemporal Landsat images using spatiotemporal neural networks, IEEE Transactions on Geoscience and Remote Sensing, accepted 12-04-2020. doi: 10.1109/TGRS.2020.3043980.
Chang, Y., Xiao, J., Li, X., Frolking, S., Zhou, D., Schneider, A., Weng, Q., Yu, P., Wang, X., Li, X., Liu, S., and Y. Wu. 2021. Exploring diurnal cycles of surface urban heat island intensity in Boston with land surface temperature data derived from GOES-R geostationary satellites, Science of the Total Environment, 763, 1 April 2021, 144224.
Cao, S., Weng, Q.*, Du, M.*, Zhong, R. and Y. Mo. 2020. Multi-scale three-dimensional detection of urban buildings using aerial LiDAR data, GIScience & Remote Sensing, 57(8), 1125-1143.
Mahdianpari, M.*, Jafarzadeh, H., Granger, J., Mohammadimanesh, F., Salehi, B., Brisco, B., Homayouni, S. and Q. Weng. 2020. A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: A case study in Newfoundland, GIScience & Remote Sensing, 57(8), 1102-1124.
Zhao, C., Jensen, J., Weng, Q., Currit, N. and R. Weaver. 2020. Use of Local Climate Zones to investigate surface urban heat islands, GIScience & Remote Sensing, 57(8), 1083-1101.
Khazaeia, M., Hamzeh, S. and Q. Weng. 2020. Generating high spatial and temporal soil moisture data by disaggregation of SMAP product and its assessment in different land covers, GIScience & Remote Sensing, 57(8), 1046-1056.
Lu, L., Weng, Q., Xiao, D., Guo, H., Li, Q. and W. Hui. 2020. Spatiotemporal variation of surface urban heat islands in relation to land cover composition and configuration: A multi-scale case study of Xi’an, China, Remote Sensing, 12(17), 2713.
Zheng, Y. and Q. Weng.* 2020. Modeling the effect of green roof systems and photovoltaic panels for building energy savings to mitigate climate change, Remote Sensing, 12(15), 2402.
Mahdianpari, M., Brisco, B., Granger, J.E., Mohammadimanesh, F., Salehi, B., Banks, S., Homayouni, S., Bourgeau-Chavez, L. and Q. Weng. 2020. The second generation Canadian wetland inventory map at 10 meters resolution using Google Earth Engine, Canadian Journal of Remote Sensing, DOI: 10.1080/07038992.2020.1802584.
Firozjaei, M.K., Fathololoumi, S., Weng, Q.*, Kiavarz, M. and S.K. Alavipanah. 2020. RSUSEI: an analytical framework for assessing the surface ecological status in urban environments, Remote Sensing, 12(12), 2029.
Zhao, C., Weng, Q. and A.M. Hersperger. 2020. Characterizing the transformation of urban morphology to understand urban forms dynamics: a case study of Austin, Texas, USA. Landscape and Urban Planning, 203, 103881.
Mijani, N., Alavipanah, S.K., Firozjaei, M.K., Arsanjani, J.J. and Q. Weng*. 2020. Modeling thermal comfort using satellite images: A principle component analysis, Ecological Indicators, 117, 106555.
Firozjaei, M.K., Weng, Q.*, Zhao, C., Kiavarz, M., Lu, L. and S.K. Alavipanah. 2020. Surface anthropogenic heat islands in six megacities: an assessment based on a triple-source surface energy balance model, Remote Sensing of Environment, 242(6), 111751.
Shafizadeh-Moghadam, H., Weng, Q.*, Liu, H. and R. Valavi. 2020. Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors, GIScience & Remote Sensing, 57(4), 483-496.
Zheng, Q., Weng, Q.* and K. Wang. 2020. Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery, Remote Sensing of Environment, 240(4), 111707.
Lu, L., Weng, Q.*, Xie, Y., Guo, H. and Q. Li. 2019. An assessment of global electric power consumption with DMSP-OLS nighttime light imagery, Energy, 189, 116351.
Firozjaei, M.K., Alavipanah, S.K., Liu, H., Sedighi, A., Mijani, N., Kiavarz, M. and Q. Weng*. 2019. A PCA-OLS model for assessing the impact of surface biophysical parameters on land surface temperature variations, Remote Sensing, 11(18), 2094; https://doi.org/10.3390/rs11182094.
Li, F., Sun, W., Yang, G. and Q. Weng*. 2019. Spatiotemporal patterns and urbanization impacts in surface urban heat islands of Hangzhou metropolitan area, eastern China in 2000-2015, Remote Sensing, 11(13), 1553; https://doi.org/10.3390/rs11131553.
Lu, L., Weng, Q., Guo, H., Feng, S. and Q. Li. 2019. Assessment of urban environmental change using multi-source remote sensing time series (2000-2016): A comparative analysis in selected megacities in Eurasia, Science of the Total Environment, 684, 567-577.
Zhu, X., Meng, L., Zhang, Y., Weng, Q.*, and J. Morris. 2019. Tidal and meteorological influences on the growth of invasive Spartina alterniflora: Evidence from UAV remote sensing, Remote Sensing, 11(10), 1208; https://doi.org/10.3390/rs11101208.
Zhu, X., Song, L., Weng, Q. and G. Huang. 2019. Linking in-situ photochemical reflectance index measurements with mangrove carbon dynamics in a subtropical coastal wetland, Journal of Geophysical Research – Biogeosciences, 124(6), 1714-1730.
Fu, P., Xie, Y., Weng, Q., Myint, Q., Meacham-Hensold, K. and C. Bernacchi. 2019. A physically based model for retrieving urban land surface temperatures under cloudy conditions, Remote Sensing of Environment, 230(9), https://doi.org/10.1016/j.rse.2019.05.010.
Zheng, Q., Weng, Q.* and K. Wang. 2019. Developing a new cross-sensor calibration model for DMSP-OLS and Suomi-NPP VIIRS night-light imageries, ISPRS Journal of Photogrammetry and Remote Sensing, 153, 36-47.
Xie, Y., Weng, Q. and P. Fu. 2019. Temporal variations of artificial nighttime lights and their implications for urbanization in the conterminous United States, 2013-2017, Remote Sensing of Environment, 225, 160-174.
Firozjaei, M.K., Daryai, I., Sedighi, A., Weng, Q.*, and S.K. Alavipanah. 2019. Homogeneity distance classification algorithm (HDCA): a novel algorithm for satellite image classification, Remote Sensing, 11, 546; doi:10.3390/rs11050546.
Fu, Y., Li, J., Weng, Q.*, Zheng, Q., Li, L., Dai, S. and B. Guo. 2019. Characterizing the spatial pattern of annual urban growth by using time series Landsat imagery, Science of the Total Environment, 666, 274-284.
Weng, Q., Firozjaei, M.K., Sedighi, A., Kiavarz, M. and S.K. Alavipanah. 2019. Statistical analysis of surface urban heat island intensity variations: A case study of Babol city, Iran, GIScience & Remote Sensing, 56(4), 576-604.
Zhu, X., Hou, Y., Weng, Q. and L. Chen. 2019. Integrating UAV optical imagery and LiDAR data for assessing the spatial relationship between mangrove and inundation across a subtropical estuarine wetland, ISPRS Journal of Photogrammetry and Remote Sensing, 149, 146-156.
Sun, G., Huang, H., Weng, Q.*, Ren, J., Sun, L., Chen, X., Zhang, A. and X. Jia. 2019. Combinational shadow index for building shadow extraction in urban areas from Sentinel-2A MSI imagery, International Journal of Applied Earth Observation and Geoinformation, 78, 53-65.
Zhao, C., Jensen, J., Weng, Q. and N.A. Currit. 2019. Application of airborne remote sensing data on mapping Local Climate Zones: cases of three metropolitan areas of Texas, U.S., Computers, Environment, and Urban Systems, 74, 175-193.
Weng, Q., Firozjaei, M.K., Kiavarz, M.*, Alavipanah, S.K. and S. Hamzeh. 2019. Normalizing land surface temperature for environmental parameters in mountainous and urban areas of a cold semi-arid climate, Science of the Total Environment, 650(2), 515-529.
Liu, H. and Q. Weng*. 2018. Scaling effect of fused ASTER-MODIS land surface temperature in an urban environment, Sensors, 18(11), 4058; https://doi.org/10.3390/s18114058.
Fu, P. and Q. Weng*. 2018. Variability in annual temperature cycle in the urban areas of the United States as revealed by MODIS imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 146(12), 65-73.
Zhao, C., Jensen, J., Weng, Q.* and R. Weaver. 2018. A geographically weighted regression analysis of the underlying factors related to surface urban heat island phenomenon, Remote Sensing, 10, 1428; doi:10.3390/rs10091428.
Zheng, Q., Weng, Q.*, Huang, L., Wang, K.*, Deng, J., Jiang, R., Ye, Z., and M. Gan. 2018. A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B, Remote Sensing of Environment, 215(9), 300-312.
Liang, B. and Q. Weng. 2018. Characterizing urban landscape by using fractal-based texture information, Photogrammetric Engineering & Remote Sensing, 84(11), 695-710.
Chen, G., Weng, Q., Hay, G.J. and Y. He. 2018. Geographic Object-based Image Analysis (GEOBIA): Emerging trends and future opportunities, GIScience & Remote Sensing, 55(2), 159-182.
Fu, P. and Q. Weng*. 2018. Responses of urban heat island in Atlanta to different land use scenarios, Theoretical and Applied Climatology, 133, 123-135.
Zheng, Y. and Q. Weng*. 2018. High spatial- and temporal-resolution anthropogenic heat discharge estimation in Los Angeles County, California, Journal of Environmental Management, 206(1), 1274-1286.
Zou, Y., Peng, H., Liu, G., Yang, K., Xie, Y. and Q. Weng*. 2017. Monitoring the expansion of urban clusters in the middle reaches of the Yangtze River, China, using time-series nighttime light images, Remote Sensing, 9, 1007; doi:10.3390/rs9101007.
Zhang, L., Weng, Q.*, and Z.F. Shao. 2017. An evaluation of monthly impervious surface dynamics by fusing Landsat and MODIS time series in the Pearl River Delta, China, from 2000 to 2015, Remote Sensing of Environment, 201(11), 99-114.
Rasul, A., Balzter, H., Smith, C., Remedios, J., Adamu, B., Sobrino, J.A., Srivanit, M., and Q. Weng. 2017. A review on remote sensing of urban heat and cool islands, Land, 6(2): 38, DOI: 10.3390/land6020038.
Alavipanah, S.K., Weng, Q.*, Gholamnia, M. and R. Khandan, 2017. An analysis of discrepancies between MODIS and Imager LSTs in high temperatures, Remote Sensing, 9(4), 347; doi:10.3390/rs9040347.
Zheng, Y., Weng, Q.* and Y.X. Zheng. 2017. A hybrid approach for three dimensional building reconstruction in Indianapolis from LiDAR data, Remote Sensing, 9(4), 310; doi:10.3390/rs9040310.
Xie, Y. and Q. Weng*. 2017. Spatiotemporally enhancing time-series DMSP/OLS nighttime light imagery for assessing large-scale urban dynamics, ISPRS Journal of Photogrammetry and Remote Sensing, 128(6), 1-15.
Jiang, Y. and Q. Weng*. 2017. Estimation of hourly and daily evapotranspiration and surface moisture using downscaled LST over various urban surfaces, GIScience & Remote Sensing, 54(1), 95-117.
Xie, Y. and Q. Weng*. 2016. Updating urban extents with nighttime light imagery by using an object-based thresholding method, Remote Sensing of Environment, 187(12), 1-13.
Fu, P. and Q. Weng*. 2016. Consistent land surface temperature data generation from irregularly spaced Landsat imagery, Remote Sensing of Environment, 184(10), 175-187.
Li, Q., Lu, L., Weng, Q., Xie, Y. and H. Guo. 2016. Monitoring urban dynamics in the southeast U.S.A. using time-series DMSP/OLS nightlight imagery. Remote Sensing, 8(7), 578; doi:10.3390/rs8070578.
Jiang, Y., Weng, Q.*, Speer, J.H. and S. Baker. 2016. Estimating tree frontal area in urban areas by using terrestrial LiDAR data, Remote Sensing, 8, 75; doi:10.3390/rs8010075.
Haashemi, S., Weng, Q.*, Darvishi A. and S.K. Alavipanah. 2016. Seasonal variations of the surface urban heat island in a semi-arid city, Remote Sensing, 8(4), 352; doi: 10.3390/rs8040352.
Zou, B., Pu, Q., Bilal, M., Weng, Q., Zhai, L. and J.E. Nichol. 2016. High-resolution satellite mapping of fine particulates based on geographically weighted regression, IEEE Geoscience and Remote Sensing Letters, 13(4), 495-499.
Xie, Y. and Q. Weng*. 2016. Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS nighttime light imageries, Energy, 100, 177-189.
Yang, G., Weng, Q., Pu, R. Gao, F., Sun, C., Li, H. and C. Zhao. 2016. Evaluation of ESTARFM based algorithm for generating land surface temperature products by fusing ASTER and MODIS data during the HiWATER-MUSOEXE, Remote Sensing, 8(1), 75; doi:10.3390/rs8010075.
Fu, P. and Q. Weng*. 2016. A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery, Remote Sensing of Environment, 175(4), 205-214.
Zhang, L. and Q. Weng*. 2016. Annual dynamics of impervious surface in the Pearl River Delta, China, from 1988 to 2013, using time series Landsat data, ISPRS Journal of Photogrammetry and Remote Sensing, 113(3), 86-96.
Xie, Y. and Q. Weng*. 2016. World energy consumption pattern as revealed by DMSP-OLS nighttime light imagery, GIScience & Remote Sensing, 53(2), 265-282.
Fan, F., Fan, W. and Q. Weng*. 2015. Improving urban impervious surface mapping by linear spectral mixture analysis and using spectral indices, Canadian Journal of Remote Sensing, 41(6), 577-586.
Mui, A., Y. He, and Q. Weng. 2015. An object-based approach to delineate wetlands across landscapes of varied disturbance with high spatial resolution satellite imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 109, 30-46. [PDF
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Fu, P. and Q. Weng*. 2015. Temporal dynamics of land surface temperature from irregular spaced Landsat TIR time series, IEEE Geoscience and Remote Sensing Letters, 12(10), 2175-2179. [PDF]
Alavipanah, S., M. Wegmann, S. Qureshi, Q. Weng, and T. Koellner. 2015. The role of vegetation in mitigating urban land surface temperatures: a case study of Munich, Germany during the warm season, Sustainability, 7(4), 4689-4706. [PDF]
Jiang, Y., Weng, Q.*, and P. Fu. 2015. Assessing the impacts of urbanization associated land use/cover change on land surface temperature and soil moisture: a case study in the Midwestern United State, Remote Sensing, 7, 4880-4898. [PDF]
Jiang, Y., P. Fu, and Q. Weng* 2015. Downscaling GOES land surface temperature for assessing heat wave health risks, IEEE Geoscience and Remote Sensing Letters, 12(8), 1605-1609. [PDF]
Zheng, Y. and Q. Weng*. 2015. Model-driven reconstruction of 3D buildings using LiDAR data, IEEE Geoscience and Remote Sensing Letters, 12(7), 1541-1545. [PDF]
Wong, M.S., J. Yang, J. Nichol, Q. Weng, P.W. Chan. 2015. Modeling of anthropogenic heat flux using HJ-1B Chinese small satellite image: a study of heterogeneous urbanized areas in Hong Kong, IEEE Geoscience and Remote Sensing Letters, 12(7), 1466-1470. [PDF]
Yang, J., Y. He, and Q. Weng, 2015. An automated method to parameterize segmentation scale by enhancing intra-segment homogeneity and inter-segment heterogeneity, IEEE Geoscience and Remote Sensing Letters, 12(6), 1282-1286. [PDF]
Xie, Y., Weng, A. and Q. Weng*. 2015. Population estimation of urban residential communities using remotely sensed morphologic data, IEEE Geoscience and Remote Sensing Letters, 12(5), 1111-1115. [PDF]
Weng, Q. and P. Fu. 2014. Modeling diurnal land temperature cycles over Los Angeles using downscaled GOES imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 97, 78-88. [PDF]
Weng, Q., Fu, P. and F. Gao. 2014. Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. Remote Sensing of Environment,145, 55-67. [PDF]
Weng, Q. and P. Fu.2014. Modeling annual parameters of land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data. Remote Sensing of Environment, 140, 267-278. [PDF]
Weng, Q., Hu, X., Quattrochi, D.A. and H. Liu. 2014. Estimating seasonal changes in urban surface heat fluxes by using ASTER images and routine meteorological data. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 7(10), 4046-4057. [PDF]
Weng, Q., Bing Xu, Xuefei Hu, and Hua Liu. 2014. Use of earth observation data for applications in public health, Geocarto International, 29(1), 3-16. [PDF]
Tong, X., Xie, H. and Q. Weng. 2014. Urban land cover classification with airborne hyperspectral data: what features to use? IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 7(10), 3998-4009. [PDF]
]Keramitsoglou, I., Kiranoudis, C.T. and Q. Weng. 2013. Downscaling geostationary land surface temperature imagery for urban analysis. IEEE Geoscience and Remote Sensing Letters, 10(5), 1253-1257. [PDF]
Jiang, Y. and Q. Weng*. 2013. Estimating land surface temperature using a thermal sharpening technique based on the relationship between LST and vegetation cover. IEEE Geoscience and Remote Sensing Letters, 10(5), 1249-1252. [PDF]
Fan, F., Deng, Y., Hu, X. and Q. Weng*. 2013. Estimating composite curve number using an improved SCS-CN method with remotely sensed variables in Guangzhou, China. Remote Sensing, 5(3), 1425-1438. [PDF]
Liang, B., Q. Weng* and X. Tong. 2013. An evaluation of fractal characteristics of urban landscape in Indianapolis, USA, using multi-sensor satellite images. International Journal of Remote Sensing, 34(3), 804–823. [PDF]
Gao, F., E.B. de Colstoun, R. Ma, Q. Weng, J.G. Masek, J. Chen, Y. Pan, and C. Song. 2012. Mapping impervious surface expansion using medium resolution satellite image time series: a case study in the Yangtze River Delta, China. International Journal of Remote Sensing, 33(24), 7609-7628. [PDF]
Liu, H. and Q. Weng. 2012. Environmental factors and risk areas of West Nile Virus in the southern California, 2007-09. Environmental Modelling and Assessment, 17(4), 441-452. [PDF]
Liu, H. and Q. Weng. 2012. Enhancing temporal resolution of satellite imagery for public health studies: a study of West Nile Virus outbreak in Los Angeles in 2007. Remote Sensing of Environment, 117(2), 57-71 . [PDF]
Weng, Q. 2012. Remote sensing of impervious surfaces in the urban areas: requirements, methods, and trends. Remote Sensing of Environment, 117(2), 34-49. [PDF]
Zhou, Y.Y., Q. Weng, K.R. Gurney, Y. Shuai, and X. Hu. 2012. Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use, ISPRS Journal of Photogrammetry and Remote Sensing, 67, 65-72. [PDF]
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Wilson, C.O. and Q. Weng*. 2011. Simulating the impacts of future land use and climate changes on surface water quality in the Des Plaines River Watershed, Chicago Metropolitan Statistical Area, Illinois, Science of the Total Environment, 409(20), 4387-4405. [PDF]
Blaschke, T., Hay, G.J., Weng, Q. and B. Resch. 2011. Collective sensing: integrating geospatial technologies to understand urban systems - an overview, Remote Sensing,3(8), 1743-1776; doi:10.3390/rs3081743. [PDF]
Keramitsoglou, I., C.T. Kiranoudis, G. Ceriola, Q. Weng, and U. Rajasekar. 2011. Extraction and analysis of urban surface temperature patterns in Greater Athens, Greece, using MODIS imagery. Remote Sensing of Environment, 115 (12), 3080-3090. [PDF]
Myint, S.W., Gober, P., Brazel, A., Grossman-Clarke, S. and Q. Weng. 2011. Per-pixel versus object-based classification of urban land cover extraction using high spatial resolution imagery, Remote Sensing of Environment, 115(5), 1145-1161. [PDF]
Weng, Q., Rajasekar, U. and X. Hu. 2011. Modeling urban heat islands with multi-temporal ASTER images. IEEE Transactions on Geosciences and Remote Sensing, 49(10), 4080-4089. [PDF]
]]]]]]Tong, X., Liu, S. and Q. Weng. 2010. Bias-corrected rational polynomial coefficients for high accuracy geo-positioning of QuickBird stereo satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 65(2): 218-226. [PDF
]] Amiri, R., Weng, Q., Alimohammadi, A. and S.K. Alavipanah. 2009. The spatial-temporal dynamics of land surface temperatures in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran. Remote Sensing of Environment, 113(12): 2606-2617. [PDF
]Liu, H. and Q. Weng. 2009. An examination of the effect of landscape pattern, land surface temperature, and socioeconomic conditions on WNV dissemination in Chicago. Environmental Monitoring and Assessment, 159(1-4): 143-161. [PDF
]Weng, Q., Hu, X., and H. Liu. 2009. Estimating impervious surfaces using linear spectral mixture analysis with multi-temporal ASTER images. International Journal of Remote Sensing, 30(18): 4807-4830.[PDF
]Tong, X., Liu, S. and Q. Weng. 2009. Geometric processing of Quickbird stereo imagery for urban land use mapping - a case study in Shanghai, China. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2(2): 61-66. [PDF
]Hu, X. and Q. Weng. 2009. Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks , Remote Sensing of Environment, 113(10): 2089-2102. [PDF
]Rajasekar, U. and Weng, Q. 2009.Spatio-temporal modeling and analysis of urban heat islands by using Landsat TM and ETM+ Imagery. International Journal of Remote Sensing, 30(13): 3531-3548. [PDF
]Weng, Q. 2009. Thermal infrared remote sensing for urban climate and environmental studies: methods, applications, and trends. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4): 335-344. [PDF
]Weng, Q. and D. Lu. 2009. Landscape as a continuum: an examination of the urban landscape structures and dynamics of Indianapolis city, 1991-2000. International Journal of Remote Sensing, 30(10): 2547-2577. [PDF
]Lu, D. and Q. Weng. 2009. Extraction of urban impervious surfaces from IKONOS imagery. International Journal of Remote Sensing, 30(5): 1297-1311. [PDF
]Rajasekar, U. and Weng, Q. 2009.Application of association rule mining for exploring the relationship between urban land surface temperature and biophysical/social parameters. Photogrammetric Engineering & Remote Sensing, 75(4): 385-396. [PDF
]Liu, H. and Q. Weng. 2009. Scaling-up effect on the relationship between landscape pattern and land surface temperature. Photogrammetric Engineering & Remote Sensing, 75(3): 291-304. [PDF
]Rajasekar, U. and Weng, Q. 2009. Urban heat island monitoring and analysis by data mining of MODIS imageries. ISPRS Journal of Photogrammetry and Remote Sensing, 64(1): 86-96. [PDF
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2008
Liu, H., Weng, Q. and D. Gaines. 2008. Multi-temporal analysis of the relationship between WNV dissemination and environmental variables in Indianapolis, U.S.A. International Journal of Health Geographics, 7(66), doi: 10.1186/1476-072X-7-66. [URL
]Weng, Q., Liu, H., Liang, B. and D. Lu. 2008. The spatial variations of urban land surface temperatures: pertinent factors, zoning effect, and seasonal variability. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 1(2): 154-166. [PDF
]Liu, H. and Q. Weng. 2008. Seasonal variations in the relationship between landscape pattern and land surface temperature in Indianapolis, U.S.A. Environmental Monitoring and Assessment, 144(1-3): 199-219. [PDF
]Liang, B. and Weng, Q. 2008. A multi-scale analysis of census-based land surface temperature variations and determinants in Indianapolis, United States. Journal of Urban Planning and Development, 134(3): 129-139.
Weng, Q. and X. Hu. 2008. Medium spatial resolution satellite imagery for estimating and mapping urban impervious surfaces using LSMA and ANN. IEEE Transaction on Geosciences andRemote Sensing, 46(8): 2397-2406. [PDF
]Weng, Q., Hu, X. and D. Lu. 2008. Extracting impervious surface from medium spatial resolution multispectral and hyperspectral imagery: a comparison. International Journal of Remote Sensing, 29(11): 3209 - 3232. [PDF
]Xiao, R., Weng, Q., Ouyang, Z., Li, W., Schienke, E.W. and Z. Zhang. 2008. Land surface temperature variation and major factors in Beijing, China. Photogrammetric Engineering & Remote Sensing, 74(4): 451-461. [PDF
]Weng, Q. and Lu, D. 2008. A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States. International Journal of Applied Earth Observation and Geoinformation, 10(1): 68-83.
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2007
Melesse, A., Weng, Q., Thenkabail, P., and Senay, G. 2007. Remote sensing sensors and applications in environmental resources mapping and modeling. Sensors, 7: 3209-3241. [PDF
]Weng, Q. 2007. A historical perspective of river basin management in the Pearl River Delta of China. Journal of Environmental Management, 85(4): 1048-1062. [PDF
]Fan, F., Weng, Q. and Y. Wang. 2007. Land use and land cover change in Guangzhou, China, from 1998 to 2003, based on Landsat TM /ETM+ imagery.Sensors, 7: 1323-1342. [PDF
]Weng, Q., Liu, H. and D. Lu. 2007. Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States. Urban Ecosystems, 10: 203-219. [PDF
]Li, G. and Weng, Q. 2007. Measuring the quality of life in City of Indianapolis by integration of remote sensing and census data. International Journal of Remote Sensing, 28(2): 249-267. [PDF
]Lu, D. and Weng, Q. 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5): 823-870. [PDF
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2006
Weng, Q., Lu, D. and B. Liang. 2006. Urban surface biophysical descriptors and land surface temperature variations. Photogrammetric Engineering & Remote Sensing, 72(11): 1275-1286. [PDF
]Lu, D. and Weng, Q. 2006. Spectral mixture analysis of ASTER imagery for examining the relationship between thermal features and biophysical descriptors in Indianapolis, Indiana. Remote Sensing of Environment, 104(2): 157-167. [PDF
]Lu, D., Weng, Q. and G. Li. 2006. Residential population estimation using remote sensing derived impervious surface. International Journal of Remote Sensing, 27(16): 3553-3570. [PDF
]Weng, Q. and S. Yang. 2006. Urban air pollution patterns, land use, and thermal landscape: an examination of the linkage using GIS. Environmental Monitoring and Assessment, 117(1-3): 463-489. [PDF
]Lu, D. and Weng, Q. 2006. Use of impervious surface in urban land use classification. Remote Sensing of Environment, 102(1-2): 146-160. [PDF
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2005
Lu, D. and Weng, Q. 2005. Urban land-use and land-cover mapping using the full spectral information of Landsat ETM+ data in Indianapolis, Indiana. Photogrammetric Engineering & Remote Sensing, 71(11): 1275-1284. [PDF
]Li, G. and Weng, Q. 2005. Using Landsat ETM+ imagery to measure population density in Indianapolis, Indiana, USA. Photogrammetric Engineering & Remote Sensing, 71(8): 947-958. [PDF
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2004
Weng, Q., Lu, D. and J. Schubring. 2004. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89(4): 467-483. [PDF
]Weng, Q. and S. Yang. 2004. Managing the adverse thermal effects of urban development in a densely populated Chinese city. Journal of Environmental Management. 70(2): 145-156. [PDF
]Lu, D. and Q. Weng. 2004. Spectral mixture analysis of the urban landscape in Indianapolis with Landsat ETM+ imagery. Photogrammetric Engineering & Remote Sensing, 70(9): 1053-1062. [PDF
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2003
]Weng. Q. 2003. Fractal analysis of satellite-detected urban heat island effect. Photogrammetric Engineering & Remote Sensing, 69(5): 555-566. [PDF]
Weng, Q., Qiao, L., Yang, S., and H. Guo. 2003. Guangzhou’s growth and urban planning, 1960-1997: an analysis through remote sensing. Asian Geographer, 22(1-2): 77-92.
Weng, Q. 2002. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS, and stochastic modeling. Journal of Environmental Management, 64: 273-284. [PDF]
Weng, Q. 2001. A remote sensing - GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing, 22(10): 1999-2014. [PDF]
Weng, Q. 2001. Human-environment interactions in agricultural land use in a South China’s wetland region: a study on the Zhujiang Delta in the Holocene. GeoJournal, 51(3): 191-202.
]Weng, Q. 2001. Modeling urban growth effect on surface runoff with the integration of remote sensing and GIS. Environmental Management, 28(6): 737-748. [PDF]
Weng, Q. 1998. Local impacts of the post-Mao development strategy: the case of the Zhujiang Delta. International Journal of Urban and Regional Research, 22(3): 425-442. [PDF]
Weng, Q. 1994. The relationship between the environmental change of the Zhujiang River Delta in Holocene era and its cultural origins and propagation. Chinese Geographical Science, 4(4): 303-309. Beijing: Science Press.